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Xingzhou Chen

ACL 2026×2评测与基准社会与人本安全强化学习与后训练对齐与偏好
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #3/9ACL 2026Poster· Natural Language Processing

The “Knowledge–Behavior Gap” in Cultural Taboo Safety of Large Language Models

Ying He · Sihang Jiang · Xingzhou Chen · Zhouhong Gu · Yiwei Gu · Minggui HE · Shimin Tao · Mahongxia · Yanghua Xiao

摘要

Cultural taboo safety is essential for deploying large language models (LLMs), as culturally insensitive outputs may cause offense or even social harm. However, existing cultural benchmarks primarily assess cultural knowledge or values biases, while overlooking whether LLMs can recognize and resp...

社会与人本安全评测与基准OpenReview 项目页
作者位次 #3/4ACL 2026Findings· Findings of ACL

From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks

Qingyu Ren · Tianjun Pan · Xingzhou Chen · Xuhong Wang

摘要

Large language models have achieved remarkable progress in text generation but still struggle with generative writing tasks. In terms of evaluation, existing evaluation benchmarks include few requirement types and writing reward models are not evaluated. In terms of training, existing studies oft...

强化学习与后训练评测与基准对齐与偏好OpenReview 项目页

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